Senior Manager, Data Analytics

Role Overview

• Manage, coach, and develop the team by setting clear goals, supporting career growth, and maintaining high standards of quality
• Own team execution through intake and prioritization, roadmap planning, stakeholder communication, and reliable delivery of insights and analyses
• Establish best practices for analytics delivery (e.g.: documentation, QA, reproducibility, peer review, and governance)
• Partner with leaders and teams across functions such as Marketing, Merchandising, Fulfillment Operations, Customer Service, and Human Resources to define the right questions, metrics, and measurement approaches
• Translate ambiguous business questions into structured analysis, decision-ready recommendations, and success metrics to track impact post-launch
• Standardize governed KPI definitions and create a proactive culture of controlled measurement and accountability
• Lead selection and implementation of a cross-functional BI tool including requirements gathering, evaluation, proof-of-concepts, and cost/value analysis
• Define governance for the BI ecosystem (e.g.: shared metrics definitions and documentation standards)
• Drive adoption through enablement such as training, templates, office hours, and continuous improvement based on feedback
• Partner with Data Engineering and IT to ensure analytics needs are met through strong data modeling, reliable pipelines, and clean source-of-truth datasets
• Bring fluency in GCP-based analytics environments (e.g.: BigQuery and related tooling) to guide scalable analytics design and best practices
• Advocate for data quality and reliability through monitoring, lineage, documentation/cataloging, and consistent definitions across domains
• Operate effectively in a centralized team model today while identifying opportunities to improve responsiveness and impact
• Propose and help implement future-state approaches (e.g.: embedded analysts for key functions, hub-and-spoke, hybrid support, etc.) as the company scales

Requirements

• Bachelor's degree in Analytics, Statistics, Economics, Computer Science, Engineering, or a related field
• A minimum of 7 years of experience in Analytics/BI/Data (or equivalent)
• a minimum of 3 years of people management experience
• Proven experience delivering dashboards, reporting, and developing insights and analysis across multiple business functions
• Strong SQL skills and ability to review analytics work for correctness and performance
• Hands-on experience with modern BI tools (e.g.: Tableau, Power BI, Looker, Mode, ThoughtSpot, or similar)
• Demonstrated ability to define metrics/KPIs, align stakeholders, and build scalable self-serve analytics
• Familiarity working in a GCP environment (e.g.: BigQuery-centric analytics workflows)
• Working knowledge of data architecture concepts (e.g.: data warehousing/lakehouse patterns, dimensional modeling, ETL/ELT, and governance)

Tech Stack

• BigQuery
• ETL
• Google Cloud Platform
• SQL
• Tableau

Benefits

• Comprehensive and affordable medical, dental, vision, and voluntary life insurance options
• 401(k) with up to 4% company match
• Paid vacation, sick time, and holidays
• Company-paid basic life insurance and long-term disability
• Discounted auto, home, and pet insurance programs
• Flexible Spending Account (FSA)
• Confidential mental health, financial planning, and legal support through our Employee Assistance Program (EAP)
• Company-provided equipment and one-time $250 work from home stipend
• $750 annual professional development budget
• $25 monthly Grubhub credit
• Company rewards and recognition program
• And more!